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DBMS > Amazon DocumentDB vs. Google Cloud Bigtable vs. Netezza vs. SiriDB vs. XTDB

System Properties Comparison Amazon DocumentDB vs. Google Cloud Bigtable vs. Netezza vs. SiriDB vs. XTDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeKey-value store
Wide column store
Relational DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.07
Rank#136  Overall
#24  Document stores
Score5.24
Rank#80  Overall
#12  Key-value stores
#6  Wide column stores
Score17.27
Rank#40  Overall
#25  Relational DBMS
Score0.13
Rank#352  Overall
#33  Time Series DBMS
Score0.18
Rank#336  Overall
#49  Document stores
Websiteaws.amazon.com/­documentdbcloud.google.com/­bigtablewww.ibm.com/­products/­netezzasiridb.comgithub.com/­xtdb/­xtdb
xtdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­bigtable/­docsdocs.siridb.comxtdb.com/­docs
DeveloperGoogleIBMCesbitJuxt Ltd.
Initial release20192015200020172019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMIT LicenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCClojure
Server operating systemshostedhostedLinux infoincluded in applianceLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infoNumeric datayes, extensible-data-notation format
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
OLE DB
HTTP APIHTTP REST
JDBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Python
Clojure
Java
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic single-row operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization conceptsimple rights management via user accounts

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More resources
Amazon DocumentDBGoogle Cloud BigtableNetezza infoAlso called PureData System for Analytics by IBMSiriDBXTDB infoformerly named Crux
Recent citations in the news

Managed document-based data stores come of age
23 August 2022, The Register

AWS DocumentDB not MongoDB-compatible, says MongoDB Inc
6 December 2021, The Register

AWS, MongoDB database collision stirs open source tensions
11 January 2019, TechTarget

Global Database Software Market Drivers, Trends And Restraints For 2022-2031
17 November 2022, EIN News

Flexible document model is secret noSQL sauce
26 October 2022, The Register

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Cloud hyperscalers round out Q3 with new regions, services and SKU changes
11 November 2022, S&P Global

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Google Introduces Zero-ETL Approach to Analytics on Bigtable Data Using BigQuery
11 August 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

ShareChat's Philosophy of Utilising Cloud-Based Systems
25 November 2022, Analytics India Magazine

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Data Is Streaming Into The Cloud, Including From IBM i
14 November 2022, IT Jungle

Reprise Expands Leadership Team to Meet Growing Demand for Demo Creation
9 November 2022, PR Newswire

Video Highlights: Modernize your IBM Mainframe & Netezza With Databricks Lakehouse
3 November 2022, insideBIGDATA

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

IBM Patches High-Severity Vulnerabilities in Cloud, Voice, Security Products
9 August 2022, SecurityWeek

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